Performance Evaluation of MIMO in IEEE802.16e/WiMAX

Alex, Sam P.; Jalloul, Louay M. A.

doi:10.1109/jstsp.2008.922508

Cited by 33 publications

(8 citation statements)

References 15 publications

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“…Finally, for MMSE weight combiner, the number of complex multiplications of the linear combiner in (20) and (21) is…”

Section: Complexity Analysismentioning

confidence: 99%

“…Besides, a well-known technique for improving the link quality for wireless communication in the multiple input multiple output (MIMO) scheme is space-time block coding (STBC) [18]. For example, the WiMAX system [19] adopts the spatial multiplexing and diversity schemes of the matrices A and B MIMO schemes [20] used for user uplink communication. Therefore, this study proposes the use of MIMO STBC MC-CDMA system with multiuser uplink communication for the CFO and multipath fading channel environments.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy MIMO detector for MC-CDMA systems with carrier frequency offset over multipath fading channels

Deng

Liao

2012

J Wireless Com Network

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A multistage fuzzy minimum output energy (MOE) detector is proposed for multiple input multiple output (MIMO) multi-carrier code-division-multiple access (MC-CDMA) uplink systems with carrier frequency offset (CFO) over multipath fading channels. The first stage of the receiver uses a novel MIMO receiver model with offset symbols to achieve a fuzzy CFO-constrained MOE detector that suppresses multiple access interference (MAI) and minimizes cancellation of the desired signal. To suppress noise and to enhance signal reception after the fuzzy MOE detector, a signal subspace projection and minimum mean square error weight combiner is proposed to enhance signal-to-interference-plus-noise ratio and bit error rate performances. Simulation results show that the proposed MIMO detector outperforms conventional MOE detectors and achieves the ideal receiver performance against MAI and CFO effects.

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“…Finally, for MMSE weight combiner, the number of complex multiplications of the linear combiner in (20) and (21) is…”

Section: Complexity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy MIMO detector for MC-CDMA systems with carrier frequency offset over multipath fading channels

Deng

Liao

2012

J Wireless Com Network

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“…This channel model was chosen since previous related analyses, e.g. [2], [3] have been performed using much more simplified models. Compared to the models used in [2] and [3], the WINNER II model can additionally take into account e.g.…”

Section: Introductionmentioning

confidence: 99%

“…[2], [3] have been performed using much more simplified models. Compared to the models used in [2] and [3], the WINNER II model can additionally take into account e.g. superior number of clusters, indoor propagation, outdoorto-indoor scenarios, angle-of-arrival and angle-of-departure elevation, cross-correlation between large-scale parameters, etc.…”

Section: Introductionmentioning

confidence: 99%

Scenario dependence of MIMO techniques

Tissari

Paavola

Poikonen

2010

2010 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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“…CHUNG, Y. YUN AND S. CHOI frequency division multiple access (OFDMA). The high data rate extension of this standard could be based on MIMO [5]. This leads to a promising combination of the data rate enhancement of MIMO with the relatively high spectral efficiency [6][7][8].…”

mentioning

confidence: 99%

Prototype implementation of adaptive beamforming‐MIMO OFDMA system based on IEEE 802.16e WMAN standard and its experimental results

Chung

Yun

Choi

2011

Int J Communication

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SUMMARYThis paper details the downlink performance analysis of a MIMO (Multi-Input Multi-Output) system that combines adaptive beamforming (ABF) and spatial multiplexing (SM) procedures. The combination of MIMO signal processing with ABF is applied to WiBro (Wireless Broadband), the South Korean orthogonal frequency division multiple access (OFDMA) system that follows the IEEE 802.16e standard. Performance analysis is based on the results of experiments and simulations obtained from a prototype system implementation and fixed-point simulator. Both the prototype experiments and simulations demonstrate that the ABF-MIMO OFDMA system improves the required signal to noise ratio (SNR) over the conventional MIMO OFDMA system by 3 dB (QPSK)/2.5 dB (16-QAM) for the frame error rate of 1% in the WiBro signal environments. From the implementation of the prototype system and its experimental results, we verify the feasibility of the ABF-MIMO technology for realizing a practical WiBro base station. The main goal in developing next-generation wireless communication systems is to increase the link throughput (data rate) and the network capacity. It has been verified that the link throughput is drastically increased when multiple antennas are applied at both the transmitter and receiver side [1][2][3]. Multiple-transmit multiple-receive antenna, i.e. multiple-input multiple-output (MIMO) techniques can be divided into two categories: space time coding (STC) [1] and spatial multiplexing (SM) [2,3]. STC improves the performance of the communication system by coding over the different transmitter branches, whereas SM achieves a higher throughput by transmitting independent data streams on the different transmit branches simultaneously and at the same carrier frequency. Since our interests are focused on the increase of throughput, we will express SM scheme as MIMO in this paper.A potential application of MIMO principle is the next-generation wireless metropolitan area network (WMAN). The current WMAN standard IEEE 802.16e [4] is based on orthogonal

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Performance Evaluation of MIMO in IEEE802.16e/WiMAX

Cited by 33 publications

References 15 publications

Fuzzy MIMO detector for MC-CDMA systems with carrier frequency offset over multipath fading channels

Fuzzy MIMO detector for MC-CDMA systems with carrier frequency offset over multipath fading channels

Scenario dependence of MIMO techniques

Prototype implementation of adaptive beamforming‐MIMO OFDMA system based on IEEE 802.16e WMAN standard and its experimental results

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